Create notebook comparing sequential and OMP implementations of standard benchmark functions

[jairodelgado]

We need to create a notebook comparing the efficiency, speed-up and scalability of sequential and OMP implementations of the standard benchmark functions. For this comparison, we should consider the following benchmark functions:

• Ackley
• Alpine
• De Jung
• Griewangk
• Rastrigin
• Rosenbrock
• Schwefel
• Step
• Styblinski_tang
• Brown Function
• Chung Reynolds Function
• Cosine Mixture Function
• Csendes Function
• Deb 1 Function
• Deb 3 Function
• Dixon & Price Function
• Egg Holder Function
• Exponential Function
• Giunta Function

In addition, consider to perform the experiments using different solution vector sizes (from $1.0·10^2$ to $1.0·10^6$) and different hardware configurations (for example, Core i3, Core i7 and CEMC-Cluster).

This output of this issue should be a new folder within docs directory.

• Name the new directory as: docs/bench-time
• Include within this folder the stdf-seq-vs-omp.ipynb and stdf-seq-vs-omp.html notebook.